Article

Generative mechanisms and scaling laws of EEG suggest an alternative physiological interpretation of ICA

2026-01-29

Abstract excerpt

In this study, we subject the conventional physiological interpretation of independent component analysis (ICA) applied to EEG, the small-patch model, to systematic falsification, and propose an alternative large-patch model. The small-patch model assumes that ICs correspond to localized cortical patches with < 1 cm². However, this assumption has remained unvalidated. The small-patch model predicts that approximat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 41bc9d5c-90c1-5399-8659-8b577d8a68a3
DOI: 10.64898/2026.01.23.26344529

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Generative mechanisms and scaling laws of EEG suggest an alternative physiological interpretation of ICADOI 10.64898/2026.01.23.26344529Read

Biophysical modeling of the neural origin of EEG and MEG signalsSemantic proximity Read

Realistic subject-specific simulation of resting state scalp EEG based on physiological modelSemantic proximity Read

Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamicsSemantic proximity Read

Resolving the mesoscopic missing link: Biophysical modeling of EEG from cortical columns in primatesSemantic proximity Read

Qualitative and Quantitative Comparative Analysis of Common Normal Variants and Physiological Artifacts in MEG and EEGSemantic proximity Read

A Neural Mass Modelling Framework for Evaluating EEG Source Localisation of Seizure ActivitySemantic proximity Read

The electro-MICA toolbox for integrating electrophysiology within multimodal imaging and connectomics workflowsSemantic proximity Read

Columnar localization and laminar origin of cortical surface electrical potentialsSemantic proximity Read

Performance evaluation of inverse methods for identification and characterization of oscillatory brain sources: Ground truth validation & empirical evidencesSemantic proximity Read

A dynamic generative model can extract interpretable oscillatory components from multichannel neurophysiological recordingsSemantic proximity Read

Macroscale dynamics of EEG microstates determine the periodic and aperiodic features of the neural power spectrumSemantic proximity Read

MEG cortical microstates: spatiotemporal characteristics, dynamic functional connectivity and stimulus-evoked responsesSemantic proximity Read